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Syntax meets semantics during brain logical computations

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dc.contributor.author Tozzi, Arturo
dc.contributor.author Peters, James F.
dc.contributor.author ve öte.
dc.date.accessioned 2024-11-21T08:24:12Z
dc.date.available 2024-11-21T08:24:12Z
dc.date.issued 2018
dc.identifier.issn 0079-6107
dc.identifier.uri http://dspace.adiyaman.edu.tr:8080/xmlui/handle/20.500.12414/5426
dc.description.abstract The discrepancy between syntax and semantics is a painstaking issue that hinders a better comprehension of the underlying neuronal processes in the human brain. In order to tackle the issue, we at first describe a striking correlation between Wittgenstein's Tractatus, that assesses the syntactic relationships between language and world, and Perlovsky's joint language-cognitive computational model, that assesses the semantic relationships between emotions and "knowledge instinct". Once established a correlation between a purely logical approach to the language and computable psychological activities, we aim to find the neural correlates of syntax and semantics in the human brain. Starting from topological arguments, we suggest that the semantic properties of a proposition are processed in higher brain's functional dimensions than the syntactic ones. In a fully reversible process, the syntactic elements embedded in Broca's area project into multiple scattered semantic cortical zones. The presence of higher functional dimensions gives rise to the increase in informational content that takes place in semantic expressions. Therefore, diverse features of human language and cognitive world can be assessed in terms of both the logic armor described by the Tractatus, and the neurocomputational techniques at hand. One of our motivations is to build a neuro-computational framework able to provide a feasible explanation for brain's semantic processing, in preparation for novel computers with nodes built into higher dimensions. (C) 2018 Elsevier Ltd. All rights reserved. tr
dc.language.iso en tr
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD tr
dc.subject DYNAMICS tr
dc.subject ENERGY tr
dc.title Syntax meets semantics during brain logical computations tr
dc.type Other tr
dc.contributor.department Univ North Texas, Dept Phys, Ctr Nonlinear Sci tr
dc.contributor.department Univ Manitoba, Dept Elect & Comp Engn, tr
dc.contributor.department Adiyaman Univ, Dept Math tr
dc.contributor.department Adiyaman Univ, Fac Arts & Sci, Dept Math, tr
dc.contributor.department Univ Manitoba, Computat Intelligence Lab tr
dc.identifier.endpage 141 tr
dc.identifier.startpage 133 tr
dc.identifier.volume 140 tr
dc.source.title PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY tr


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